Distribution            Base class for Distributions
GenPareto               The Generalized Pareto Distribution (GPD)
Pareto                  The Pareto Distribution
as_params               Convert TensorFlow tensors to distribution
                        parameters recursively
blended_transition      Transition functions for blended distributions
callback_adaptive_lr    Keras Callback for adaptive learning rate with
                        weight restoration
callback_debug_dist_gradients
                        Callback to monitor likelihood gradient
                        components
dist_bdegp              Construct a BDEGP-Family
dist_beta               Beta Distribution
dist_binomial           Binomial Distribution
dist_blended            Blended distribution
dist_dirac              Dirac (degenerate point) Distribution
dist_discrete           Discrete Distribution
dist_empirical          Empirical distribution
dist_erlangmix          Erlang Mixture distribution
dist_exponential        Exponential distribution
dist_gamma              Gamma distribution
dist_genpareto          Generalized Pareto Distribution
dist_lognormal          Log Normal distribution
dist_mixture            Mixture distribution
dist_negbinomial        Negative binomial Distribution
dist_normal             Normal distribution
dist_pareto             Pareto Distribution
dist_poisson            Poisson Distribution
dist_translate          Tranlsated distribution
dist_trunc              Truncated distribution
dist_uniform            Uniform distribution
dist_weibull            Weibull Distribution
fit.reservr_keras_model
                        Fit a neural network based distribution model
                        to data
fit_blended             Fit a Blended mixture using an ECME-Algorithm
fit_dist                Fit a general distribution to observations
fit_dist_start.MixtureDistribution
                        Find starting values for distribution
                        parameters
fit_erlang_mixture      Fit an Erlang mixture using an ECME-Algorithm
fit_mixture             Fit a generic mixture using an ECME-Algorithm
flatten_params          Flatten / Inflate parameter lists / vectors
integrate_gk            Adaptive Gauss-Kronrod Quadrature for multiple
                        limits
interval                Intervals
interval-operations     Convex union and intersection of intervals
is.Distribution         Test if object is a Distribution
k_matrix                Cast to a TensorFlow matrix
plot_distributions      Plot several distributions
predict.reservr_keras_model
                        Predict individual distribution parameters
prob_report             Determine probability of reporting under a
                        Poisson arrival Process
quantile.Distribution   Quantiles of Distributions
softmax                 Soft-Max function
tf_compile_model        Compile a Keras model for truncated data under
                        dist
tf_initialise_model     Initialise model weights to a global parameter
                        fit
trunc_obs               Define a set of truncated observations
truncate_claims         Truncate claims data subject to reporting delay
weighted_moments        Compute weighted moments
weighted_quantile       Compute weighted quantiles
weighted_tabulate       Compute weighted tabulations
